Native Kotlin and Jetpack Compose development on a consumer-facing Android app for in-store grocery trips, running on a known device inside live stores. Integrates on-device edge AI (ML Kit, TensorFlow Lite) and uses AI coding tools like Cursor or Claude Code. Reports to the Head of Android.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

You will work with Python, Django, Django REST Framework, FastAPI, PostgreSQL, AWS, React.js, Docker, Redis, Celery, Pandas, NumPy, Git, Jenkins, Elasticsearch, and Kubernetes, using AI tools like Claude Code and Cursor. You’ll shape the technical direction of a cloud-based property management platform handling payments, quoting, invoicing, booking, search, data pipelines, notifications, and fraud prevention. This is a leadership role bridging product vision and technical execution, guiding engineers toward delivery.

On Ag★2.9 (7)· London

Work with Python, PyTorch, JAX, TensorFlow, GCP/AWS, Kafka, and MLOps to build real-time personalization and recommendation engines. Lead data science initiatives that design, train, and deploy customer-level algorithms for On’s global D2C/e-commerce platform.

Work with Python, Pandas, NumPy, Polars, Flask/FastAPI, and optionally Databricks and AWS. You will build scalable tools for the Risk Division in an energy commodities trading environment, supporting traders and risk analysts by centralising data and improving reporting.

You will work with Python, C#, JavaScript, or Go, and use Gen AI tools like LangGraph, CrewAI, and Hugging Face, alongside ML frameworks such as PyTorch. Sitting in a cross-functional team with product, data, and platform engineers, you will design, build, deploy, and monitor AI systems that scale across the business.

Revolut★3.4 (183)· London

You will work on Python, PyTorch, TensorFlow, Keras, OpenCV, Jupyter, Docker, and GCP, with SQL and CI/CD. The team builds and deploys computer vision models to automate compliance processes like ID verification and facial recognition for account onboarding.

Citi★3.9 (21k)· London

Build and scale AI-powered financial systems using Java, Spring, React/Angular, Python, FastAPI, Docker, and GitHub Copilot within Citi’s global tech environment. You will design generative AI agents, LLM workflows, and RAG pipelines while working on enterprise microservices, mobile, or front-end development. This role is for an individual contributor on an agile team.

Fitch Ratings★3.8 (136)· London

You'll build ML/AI solutions using Python, FastAPI, PyTorch/TensorFlow, LangChain, LangGraph, and React/TypeScript within cloud-based microservices architectures. The agile team delivers software products for Fitch's BMI business, which provides data-driven market insights and risk analysis to customers globally. You'll design full-stack enterprise applications, implement GenAI features with LLM integration, and establish development best practices across the product suite.

Checkout.com★3.8 (15)· London

Build systems for training, deploying, and monitoring ML models on Databricks using Python, AWS, Azure, and frameworks such as scikit-learn, xgboost, TensorFlow, PyTorch, and Spark. You will contribute to Checkout.com’s new ML-driven dispute optimisation suite, building data pipelines, feature stores, and backend services for real-time payment dispute processing.

Work with Python, C++, and machine-learning frameworks (TensorFlow, PyTorch) on cloud platforms (AWS, Azure, GCP) using Docker and Kubernetes. You will bridge the gap between AI research and product development, building scalable software that integrates advanced mathematical-reasoning algorithms into real-world applications.

Citi★3.9 (21k)· London

You will work with Java, Angular, microservices, event-driven architectures (Kafka, RabbitMQ), Spring Boot, Docker, Kubernetes, and AI frameworks (Python, LangChain). At Citi, a global financial services firm, you will design and deploy AI-enabled full-stack applications, integrating agentic AI to solve complex business challenges.

Autodesk★4.1 (589)· London

Use Python, CI/CD (GitHub Actions, Jenkins), and AI-powered testing tools to build and maintain automated test suites for AI-powered applications. This role ensures the quality, reliability, and performance of Autodesk’s AI features through API testing and validation of machine learning model outputs.

Amazon★3.5 (56k)· London

You will work with Java, C++, Python, neural deep learning, machine learning, TensorFlow, PyTorch, Spark, and formal methods (model checking, interactive theorem proving, property-based testing). The Agentic Automated Reasoning Group builds next-generation software verification tools combining AI and cloud computing to analyze code—from Infrastructure as Code to assembly—for provable security, availability, and correctness across AWS services.

Amazon★3.5 (56k)· London

Develops personalised recommendations using Java, C++, Python, neural deep learning, and tools like TensorFlow, Spark, and MLLib. The Prime Video Insights team builds observability features that reduce customer-impact time, consuming petabytes of data daily for internal builders.

You'll build production Android apps in Kotlin, integrating AI-powered features like LLM chat, vision, and voice through backend APIs while optimizing performance and reliability for mobile devices. BJAK is developing a proactive AI smart assistant for everyday users focused on multi-step workflows, persistent context, and real-world task completion. The role requires 3+ years Android experience with hands-on AI feature integration and strong async programming skills.

You'll build production iOS applications in Swift and SwiftUI for A1, an AI smart assistant handling everyday tasks, conversations, and workflows. The role centers on AI integration through backend APIs, designing UX patterns for streaming responses and AI interactions, optimizing performance and battery efficiency, and collaborating with backend and ML engineers on system reliability. You need 3+ years iOS development experience, proven AI feature integration, async/await expertise, and production app shipping skills.

You will work with ThreeJS/WebGL, JavaScript (Node.js, React), and SASS. Powster, a creative studio, builds immersive WebGL experiences, high-concept websites, and interactive activations for movie and music industry clients.

You'll develop C# and .NET Core backend services and middleware for Maven's risk technology platform, using Docker/Kubernetes and CI/CD pipelines to optimize position management, reporting, and trading systems. The small team collaborates with traders and infrastructure engineers to build resilient, testable solutions supporting the proprietary trading firm's derivatives strategies across global markets.

Faculty★0.0 (16)· London

Faculty develops and deploys AI solutions for financial institutions using Python, Scikit-learn, TensorFlow, PyTorch, Docker, Kubernetes, and major cloud providers (Azure, GCP, AWS). As Lead Forward Deployed Engineer, you'll set technical direction for complex ML projects, design scalable systems, lead hiring and mentoring, and guide multiple engineers on shared organizational resources while managing high-risk client engagements across the Professional and Financial Services Business unit.

Faculty★0.0 (16)· London

You'll work with Python, Scikit-learn, TensorFlow, PyTorch, Docker, Kubernetes, and major cloud platforms (Azure, GCP, AWS) to design and deploy scalable ML systems for Faculty's financial services clients. Faculty develops AI solutions helping financial institutions improve efficiency and customer experience within regulated markets. You'll lead a team of engineers, setting technical direction across complex projects while mentoring staff and driving organizational innovation.

You'll build and maintain Python services that process and publish financial metrics for Sesame, Landytech's investment reporting platform used by asset managers and advisors across 15+ countries. The role involves developing APIs, designing data pipelines, and optimizing systems for financial data, with exposure to modern data processing libraries and fintech domain knowledge valued but not required.